Unions and the green transition in construction in Europe: Contrasting visions
Bibliographic record
Abstract
The construction industry, responsible for 40 percent of European Union (EU) end-use emissions, is targeted as a major area of transformation particularly through the Energy Performance of Buildings Directive requiring nearly zero energy building (NZEB). Through a case study approach, union responses to EU strategy on the implementation of energy efficiency standards are evaluated in Denmark, Germany, Italy and UK (Scotland), presenting a varied picture, from minimal acknowledgement to broad support along the lines of ecological modernization to radical transformation. Radical appraisals of the industry and its exploitative and high-carbon practices are rare, though engaging with the employment and vocational education and training (VET) implications. The article presents a labour-centred alternative to a technical-driven transition agenda, focusing on how the labour process needs to change in a sector dominated by small firms, self-employment, a fragmented labour process and often low levels of VET.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.010 | 0.026 |
| Scholarly communication | 0.018 | 0.005 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".